IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i12p9319-d1167221.html
   My bibliography  Save this article

Quantifying Causality between Climate Change and Credit Risk: A Bibliometric Study and Research Agenda

Author

Listed:
  • Noluthando Mngadi

    (Centre of Applied Data Science, University of Johannesburg, Johannesburg 2006, South Africa
    These authors contributed equally to this work.)

  • Hossana Twinomurinzi

    (Centre of Applied Data Science, University of Johannesburg, Johannesburg 2006, South Africa
    These authors contributed equally to this work.)

Abstract

There is increasing pressure on organisations and countries to manage the financial risks associated with climate change. This paper summarises research on climate change, credit risk and the associated losses, and specifically identifies methods that could contribute to quantifying the causal relationships between climate change and credit risk. We conducted a bibliometric analysis using the Web of Science database to analyse 3138 documents that investigated climate change and credit risk. The key results reveal that climate change has a quantifiable effect on credit risk, and that the most affected industries or sectors are energy, transportation/mobility, agriculture and food, manufacturing, and construction. The prominent methods to quantify causal relationships between climate change and credit risk are regression models, but these are mostly used in preliminary and testing stages. Distance to default and credit risk are the main areas of focus when quantifying climate change and credit risk. Banks are the main type of organisation that have sought to quantify the causal relationship. We identify a research agenda to quantify these causal relationships.

Suggested Citation

  • Noluthando Mngadi & Hossana Twinomurinzi, 2023. "Quantifying Causality between Climate Change and Credit Risk: A Bibliometric Study and Research Agenda," Sustainability, MDPI, vol. 15(12), pages 1-15, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9319-:d:1167221
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/12/9319/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/12/9319/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    2. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    3. Natalia Nehrebecka, 2021. "Climate Risk with Particular Emphasis on the Relationship with Credit-Risk Assessment: What We Learn from Poland," Energies, MDPI, vol. 14(23), pages 1-14, December.
    4. José Willer Prado & Valderí Castro Alcântara & Francisval Melo Carvalho & Kelly Carvalho Vieira & Luiz Kennedy Cruz Machado & Dany Flávio Tonelli, 2016. "Multivariate analysis of credit risk and bankruptcy research data: a bibliometric study involving different knowledge fields (1968–2014)," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1007-1029, March.
    5. Möllmann, Johannes & Buchholz, Matthias & Kölle, Wienand & Musshoff, Oliver, 2020. "Do remotely-sensed vegetation health indices explain credit risk in agricultural microfinance?," World Development, Elsevier, vol. 127(C).
    6. Bajaj, Vimmy & Kumar, Pawan & Singh, Vipul Kumar, 2022. "Linkage dynamics of sovereign credit risk and financial markets: A bibliometric analysis," Research in International Business and Finance, Elsevier, vol. 59(C).
    7. Ascui, Francisco & Ball, Alex & Kahn, Lewis & Rowe, James, 2021. "Is operationalising natural capital risk assessment practicable?," Ecosystem Services, Elsevier, vol. 52(C).
    8. Kent D. Daniel & Robert B. Litterman & Gernot Wagner, 2016. "Applying Asset Pricing Theory to Calibrate the Price of Climate Risk," NBER Working Papers 22795, National Bureau of Economic Research, Inc.
    9. Garbarino, Nicola & Guin, Benjamin, 2021. "High water, no marks? Biased lending after extreme weather," Journal of Financial Stability, Elsevier, vol. 54(C).
    10. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    11. Giuliana Birindelli & Graziella Bonanno & Stefano Dell'Atti & Antonia Patrizia Iannuzzi, 2022. "Climate change commitment, credit risk and the country's environmental performance: Empirical evidence from a sample of international banks," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1641-1655, May.
    12. Dutta, Anupam & Bouri, Elie & Noor, Md Hasib, 2018. "Return and volatility linkages between CO2 emission and clean energy stock prices," Energy, Elsevier, vol. 164(C), pages 803-810.
    13. Javadi, Siamak & Masum, Abdullah-Al, 2021. "The impact of climate change on the cost of bank loans," Journal of Corporate Finance, Elsevier, vol. 69(C).
    14. Yu, Baojun & Li, Changming & Mirza, Nawazish & Umar, Muhammad, 2022. "Forecasting credit ratings of decarbonized firms: Comparative assessment of machine learning models," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    15. Oskar LECUYER & Esperanza GONZALEZ-MAHECHA & Michelle HALLACK & Morgan BAZILIAN & Adrien VOGT-SCHILB, 2019. "Committed emissions and the risk of stranded assets from power plants in Latin America and the Caribbean," Working Paper 7d9ac525-0354-46ef-aa0b-f, Agence française de développement.
    16. Philipp Krueger & Zacharias Sautner & Laura T Starks, 2020. "The Importance of Climate Risks for Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 33(3), pages 1067-1111.
    17. Zhang, Dayong & Zhang, Zhiwei & Managi, Shunsuke, 2019. "A bibliometric analysis on green finance: Current status, development, and future directions," Finance Research Letters, Elsevier, vol. 29(C), pages 425-430.
    18. Kabir, Md Nurul & Rahman, Sohanur & Rahman, Md Arifur & Anwar, Mumtaheena, 2021. "Carbon emissions and default risk: International evidence from firm-level data," Economic Modelling, Elsevier, vol. 103(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Khan, Ashraf & Goodell, John W. & Hassan, M. Kabir & Paltrinieri, Andrea, 2022. "A bibliometric review of finance bibliometric papers," Finance Research Letters, Elsevier, vol. 47(PA).
    2. Mbarki, Imen & Khan, Muhammad Arif & Karim, Sitara & Paltrinieri, Andrea & Lucey, Brian M., 2023. "Unveiling commodities-financial markets intersections from a bibliometric perspective," Resources Policy, Elsevier, vol. 83(C).
    3. Carè, R. & Weber, O., 2023. "How much finance is in climate finance? A bibliometric review, critiques, and future research directions," Research in International Business and Finance, Elsevier, vol. 64(C).
    4. Mariana Reis Maria & Rosangela Ballini & Roney Fraga Souza, 2023. "Evolution of Green Finance: A Bibliometric Analysis through Complex Networks and Machine Learning," Sustainability, MDPI, vol. 15(2), pages 1-23, January.
    5. Gour Gobinda Goswami & Tahmid Labib, 2022. "Modeling COVID-19 Transmission Dynamics: A Bibliometric Review," IJERPH, MDPI, vol. 19(21), pages 1-19, October.
    6. Jin Su & Mo Wang & Mohd Adib Mohammad Razi & Norlida Mohd Dom & Noralfishah Sulaiman & Lai-Wai Tan, 2023. "A Bibliometric Review of Nature-Based Solutions on Urban Stormwater Management," Sustainability, MDPI, vol. 15(9), pages 1-23, April.
    7. Zamani, Mehdi & Yalcin, Haydar & Naeini, Ali Bonyadi & Zeba, Gordana & Daim, Tugrul U, 2022. "Developing metrics for emerging technologies: identification and assessment," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    8. Abidin Kemeç & Ayşenur Tarakcıoglu Altınay, 2023. "Sustainable Energy Research Trend: A Bibliometric Analysis Using VOSviewer, RStudio Bibliometrix, and CiteSpace Software Tools," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    9. Kumar, Satish & Chavan, Meena & Pandey, Nitesh, 2023. "Journal of International Management: A 25-year review using bibliometric analysis," Journal of International Management, Elsevier, vol. 29(1).
    10. Huixin Wang & Jing Xie & Shixian Luo & Duy Thong Ta & Qian Wang & Jiao Zhang & Daer Su & Katsunori Furuya, 2023. "Exploring the Interplay between Landscape Planning and Human Well-Being: A Scientometric Review," Land, MDPI, vol. 12(7), pages 1-24, June.
    11. Faisal Bin Sulaiman, 2023. "Compact City: What Is the Extent of Our Exploration for Its Meanings? A Systematic Review," Sustainability, MDPI, vol. 15(13), pages 1-22, June.
    12. Vilker Zucolotto Pessin & Luciana Harue Yamane & Renato Ribeiro Siman, 2022. "Smart bibliometrics: an integrated method of science mapping and bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3695-3718, June.
    13. Lingjie Tang & Chang’an Zhang, 2023. "Global Research on International Students’ Intercultural Adaptation in a Foreign Context: A Visualized Bibliometric Analysis of the Scientific Landscape," SAGE Open, , vol. 13(4), pages 21582440231, December.
    14. Saurav Chandra Talukder & Zoltán Lakner, 2023. "Exploring the Landscape of Social Entrepreneurship and Crowdfunding: A Bibliometric Analysis," Sustainability, MDPI, vol. 15(12), pages 1-22, June.
    15. Tejaswi Patil & Zillur Rahman, 2023. "Mapping the Cause-Related Marketing (CRM) field: document co-citation and bibliographic coupling approach," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 20(2), pages 491-520, June.
    16. Carlo Dindorf & Eva Bartaguiz & Freya Gassmann & Michael Fröhlich, 2022. "Conceptual Structure and Current Trends in Artificial Intelligence, Machine Learning, and Deep Learning Research in Sports: A Bibliometric Review," IJERPH, MDPI, vol. 20(1), pages 1-23, December.
    17. Aghilasse Kashi & Mohamed Eskandar Shah, 2023. "Bibliometric Review on Sustainable Finance," Sustainability, MDPI, vol. 15(9), pages 1-30, April.
    18. Mukherjee, Debmalya & Kumar, Satish & Pandey, Nitesh & Lahiri, Somnath, 2023. "Is offshoring dead? A multidisciplinary review and future directions," Journal of International Management, Elsevier, vol. 29(3).
    19. Bhatnagar, S. & Sharma, D., 2022. "Evolution of green finance and its enablers: A bibliometric analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    20. Yao, Ye & Du, Huibin & Zou, Hongyang & Zhou, Peng & Antunes, Carlos Henggeler & Neumann, Anne & Yeh, Sonia, 2023. "Fifty years of Energy Policy: A bibliometric overview," Energy Policy, Elsevier, vol. 183(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9319-:d:1167221. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.